How to implement cv2.imshow

liuyibo · February 1, 2020, 2:39pm

Hi!

Thank you for creating such a wonderful project. I’m building a small app to visualize some images. In order to fit my requirements, I used some hacky things like private methods or unsafe_allow_html style injection (javascript injection is not supported ).

The main purpose of the app is to visualize images and charts similar to cv2.imshow or matplotlib.pyplot.show but using a web backend. I want minimal changes of the original programs and dataflows. Specifically, the only change needs to be done is replacing imports (no startup method changes are needed either).

Now I’m modifying Server and ReportSession to get more features and it’s divergent a lot. I’m worrying the unstable APIs I’m using and the future compatibility.
Is there any better idea how to implement this?

Here’s my implementation:

gist.github.com

https://gist.github.com/liuyibo/6fb24680a02b3735b5d50c850b59673d

init.py

import time
import importlib
from threading import Thread
from multiprocessing import Process, Queue

import click
import socket

import streamlit
import streamlit.bootstrap as bootstrap

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app.py

import time
import threading
import numpy as np

import streamlit as st
from ripplit.caching import get_cache


st.markdown(
    """

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cache.py

class Cache(object):
    def __init__(self):
        self._wait_flag = False
        self._oprs = []
    
    def set_wait_flag(self):
        self._wait_flag = True
    
    def has_wait_flag(self):
        return self._wait_flag

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Thanks

monchier · February 12, 2020, 10:06pm

Hi @liuyibo,
thanks for posting! We are working a lot on extensibility and we are planning to release a Plugin framework. Here is the FR.

That said, for matplotlib, have you tried st.pyplot(). It should just render a matplotlib figure.

Matteo

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How to implement cv2.imshow

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